Coming soon:
NervanaCon 2017

Mark your calendar for December 2017 and RSVP now.


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Intel® Nervana™ Meetups

Lightning talks, panels, workshops, keynotes, and networking! Join our AI Meetup group(s) for your invitation!

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The AI Conference

The Artificial Intelligence Conference delivers unparalleled depth and breadth in technical content combined with an applied industry focus.

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Intel® Nervana™ AI Advisors

Meet our team of scientific advisors, who are widely recognized as experts in artificial neural networks and deep learning.

Yoshua Bengio, PhD

Yoshua is a widely recognized expert in deep learning, having played a central role in many of the key developments in the field. He has made seminal contributions to the fields of neural networks and statistical learning. His work forms the underpinnings of several of today’s state-of-the-art applications in areas of machine intelligence such as natural language processing.

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Bruno Olshahusen, PhD

Bruno is an expert in neural computation and biological and computer vision. His seminal work in sparse coding and unsupervised learning has had widespread influence in the fields of machine learning and deep learning. Bruno is the Director of the Redwood Center for Theoretical Neuroscience, and a Professor at the Helen Wills Neuroscience Institute and the School of Optometry at UC Berkeley.

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Ron Dror, PhD

Ron Dror is an associate professor of Computer Science and, by courtesy, Molecular and Cellular Physiology at Stanford University. His research interests span computational biology, parallel computing, image processing, and machine learning. Prior to Stanford, Ron served as a senior manager at D. E. Shaw Research, where he oversaw key aspects of the development of Anton, a custom supercomputer for molecular dynamics simulations.

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Jan Rabaey, PhD

Jan is a widely recognized authority in VLSI and processor architecture. He is currently the Donald O. Pederson Distinguished Professor in EECS at UC Berkeley. He is scientific co-director of BWRC and SwarmLab, and a SONIC CIPS theme lead. Jan has authored a wide range of papers in signal processing, low power and wireless systems design, and is a recipient of numerous scientific awards. His recent research has focused on brain-machine interfaces, neural prostheses, and scalable neural recording.

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